pedrodiamel / nettutorialLinks
Deep learning tutorial
☆29Updated 7 years ago
Alternatives and similar repositories for nettutorial
Users that are interested in nettutorial are comparing it to the libraries listed below
Sorting:
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆170Updated 7 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- Cluttered Omniglot dataset and models☆47Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 4 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- An implementation of shampoo☆75Updated 7 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset☆88Updated 6 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- ☆182Updated 2 years ago
- visualization of CNN in PyTorch☆155Updated last year
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- SimpleNetV1 Implementation in Pytorch☆53Updated last year
- A drop-in replacement for CIFAR-10.☆241Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- ☆219Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- ICLR Reproducibility Challenge 2019☆218Updated 6 years ago